haystack/test/test_utils.py
mathislucka 34f9308e1a
Simplify SQuAD data to df conversion (#2124)
* Conversion to df does not need initialization

* Apply Black

* fix test case

* Apply Black

Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
2022-02-04 12:37:56 +01:00

72 lines
2.3 KiB
Python

import pytest
import pandas as pd
from pathlib import Path
from haystack.utils.preprocessing import convert_files_to_dicts, tika_convert_files_to_dicts
from haystack.utils.cleaning import clean_wiki_text
from haystack.utils.augment_squad import augment_squad
from haystack.utils.squad_data import SquadData
from conftest import SAMPLES_PATH
def test_convert_files_to_dicts():
documents = convert_files_to_dicts(
dir_path=(SAMPLES_PATH).absolute(), clean_func=clean_wiki_text, split_paragraphs=True
)
assert documents and len(documents) > 0
@pytest.mark.tika
def test_tika_convert_files_to_dicts():
documents = tika_convert_files_to_dicts(dir_path=SAMPLES_PATH, clean_func=clean_wiki_text, split_paragraphs=True)
assert documents and len(documents) > 0
def test_squad_augmentation():
input_ = SAMPLES_PATH / "squad" / "tiny.json"
output = SAMPLES_PATH / "squad" / "tiny_augmented.json"
glove_path = SAMPLES_PATH / "glove" / "tiny.txt" # dummy glove file, will not even be use when augmenting tiny.json
multiplication_factor = 5
augment_squad(
model="distilbert-base-uncased",
tokenizer="distilbert-base-uncased",
squad_path=input_,
output_path=output,
glove_path=glove_path,
multiplication_factor=multiplication_factor,
)
original_squad = SquadData.from_file(input_)
augmented_squad = SquadData.from_file(output)
assert original_squad.count(unit="paragraph") == augmented_squad.count(unit="paragraph") * multiplication_factor
def test_squad_to_df():
df = pd.DataFrame(
[["title", "context", "question", "id", "answer", 1, False]],
columns=["title", "context", "question", "id", "answer_text", "answer_start", "is_impossible"],
)
expected_result = [
{
"title": "title",
"paragraphs": [
{
"context": "context",
"qas": [
{
"question": "question",
"id": "id",
"answers": [{"text": "answer", "answer_start": 1}],
"is_impossible": False,
}
],
}
],
}
]
result = SquadData.df_to_data(df)
assert result == expected_result